MacBook Air (2022)
Geekbench AI Score
2130
Single Precision Score
11602
Half Precision Score
12427
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 16 2024 09:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1129
209.9 IPS |
|
|
Image Classification (HP)
|
100% |
7232
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7921
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5140
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
88518
103.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
86904
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
99% |
8418
669.6 IPS |
|
|
Object Detection (Q)
|
93% |
8850
706.1 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11068
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
11963
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3663
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47685
367.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
51797
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10581
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
139030
178.7 IPS |
|
|
Style Transfer (Q)
|
100% |
138596
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19265
711.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25085
929.4 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.7 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2351
40.6 IPS |
